| 1. |
- Madala, Hemarao
(författare)
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GMDH as an identification and modelling tool for biotechnical processes
- 1983
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Ingår i: Elsevier IFAC Publications / IFAC Proceedings series. - 1474-6670. - 0080299784 ; 16:14, s. 225-229
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Tidskriftsartikel (refereegranskat)abstract
- This paper describes GMDH as an identification and modelling tool for biotechnical processes. Several examples are considered by using a known simulated data. The identified models could be used further in analysing the processes by using online algorithms.
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| 2. |
- Madala, Hemarao
(författare)
-
GMDH as an identification and modelling tool for biotechnical processes
- 1982
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Ingår i: Modelling and control of biotechnical processes. - Oxford : Pergamon Press. - 0080299784 ; , s. 225-229
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Konferensbidrag (refereegranskat)abstract
- Group Method of Data Handling (GMDH) is developed by Ivakhenko on the basis of the pioneering works of Wiener, Gabor et al for non-linear system representation, and Rosenblott for the perceptron concept, to identify complex nonlinear systems of unknown structures. This paper describes GMDH as an identification and modelling tool for biotechnical processes. Several examples are considered by using a known simulated data. The identified models could be used further in analysing the processes by using online algorithms
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| 3. |
- Madala, Hemarao, et al.
(författare)
-
Some Experimental Results of Digital Signal Processing
- 1983
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Ingår i: Elsevier IFAC Publications / IFAC Proceedings series. - 1474-6670. ; 16:15, s. 531-535
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Tidskriftsartikel (refereegranskat)abstract
- This paper describes some of the experimental results in processing of signals in finding out the length of a tube. The paper is divided into two parts consisting of different results. The aim of the first part is to find out the behaviour of A parameters of AR model and how they change as the length of the tube varies and to discover a single model of length as a function of A parameters treating the system as a black box. Linear Moving Averages (LMA) used in this paper eased the situation in filtering out the disturbances on A parameters and in getting the exact model. Optimal length of LMA is found out for the given situation. This type of model is useful in the continuous case. In the second part a new harmonical algorithm is described for identifying the signals from the experiment. The estimated models show reasonably good results. The results are discussed for different lengths of the tube.
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